czq142857 / IM-NETLinks
The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
☆165Updated 6 months ago
Alternatives and similar repositories for IM-NET
Users that are interested in IM-NET are comparing it to the libraries listed below
Sorting:
- PyTorch 1.2 implementation of BSP-NET.☆187Updated 3 years ago
- PyTorch 1.2 implementation of IM-NET.☆203Updated 6 months ago
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆286Updated 5 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆89Updated 3 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆310Updated 4 years ago
- code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"☆121Updated 2 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 5 years ago
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆181Updated 5 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆175Updated 2 years ago
- Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021☆169Updated 4 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆183Updated 2 years ago
- Implicit Feature Network (IF-Net) - Codebase☆324Updated 2 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated 2 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆146Updated 5 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆186Updated 4 years ago
- Code for 3D Reconstruction of Novel Object Shapes from Single Images paper☆129Updated 4 years ago
- Marching cubes with and without color interpolation, and edge subsampling.☆189Updated 3 years ago
- ☆115Updated 4 years ago
- PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.☆84Updated 3 years ago
- Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.☆202Updated 4 years ago
- 3D Shape Representation with Local Deep Implicit Functions.☆322Updated last year
- ☆162Updated 4 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆242Updated 4 years ago
- The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".☆70Updated 6 months ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆169Updated 4 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆128Updated 3 years ago
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021 Oral presentation☆110Updated 4 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 5 years ago
- A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.☆160Updated 6 years ago
- Implicit Geometric Regularization for Learning Shapes☆439Updated 4 years ago